Habeebullah A
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Data Scientist Preferred Title
$20.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Response Time 12.0 hours
- Average Count of Messages/Day 0.5
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 49h PST, 50h UTC
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Software Engineering Process 3.0/5
- Technical Breadth 3.0/5
- Algorithmic Thinking 3.0/5
- Technical Strength 3.0/5
- Teamwork 3.0/5
- Intellectual Merit 3.0/5
- English Communication 4.0/5
- Desktop Mac
- Phone iPhone
- Member Since Oct 02, 2023
- Profile Last Updated Jul 23, 2024
- Last Activity Sept. 2, 2024, 12:54 p.m. UTC
- Location United Kingdom
Profile Summary
A creative and passionate Data Scientist with experience building data-intensive applications using data analysis and machine learning. Works with Python, Tableau, SQL, Tensor flow and Keras, QlikSense, and R. Has consistently ensured 99% on-time delivery and project completion.
Skills
Total Experience: 1+ years
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 49h PST, 50h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
12 - 18
12 - 23
12 - 23
12 - 23
12 - 23
09 - 17
PST
05 - 11
05 - 16
05 - 16
05 - 16
05 - 16
02 - 10
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Machine Learning Engineer
Passion Project
May 2023 - Jun 2023
Innoscripta Hackathon Company
Technology Industry
Project: Global Company Data Search Engine
- The goal was to create a product to retrieve company details of any company in the world using just the company name, country, and website URL. After researching, we found a scraping website.
- We used the Langchain framework to harness the power of Deep Neural networks and machine learning, connecting a Large Language Model (LLM) to a search API Management tool.
- Several open-source alternatives were tested, but we settled on using Open AI GPT-3 the DaVinci model with the Google Serper API and Google SerpApi, and put it all together using Python.
Data Scientist
Employment
Apr 2022 - Aug 2022
Zummit Africa Company
Technology Industry
Project: Drowsiness Detection
- Worked on the production of a drowsiness detection model that could be used to detect drowsiness in long-hour vehicle drivers, using Deep Neural Networks.
- Using Python, Google Colab, OpenCV, and media pipe we took into account the distances between their eyes and mouths to identify symptoms of drowsiness.
- A Convolutional Neural Networks machine learning alternative was also used to train on multiple pictures of drowsy, tired drivers.
Data Scientist
Internship
Feb 2022 - Apr 2022
Zummit Africa Company
Technology Industry
Project: Emotion Detection
- This project aims to identify human emotions using cameras. Deep Neural Networks such as Convolutional neural networks were used to train the data from the FErplus dataset.
- Python was the programming language used to perform the machine learning training on Google Colab in the cloud.
- Transfer learning with various neural network architectures such as Vgg16, EfficientNetB0, ResNet50, and MobileNetV2.
- In the end, a Data visualization chart shows the emotions detected throughout the video to help management easily locate points of interest such as when the customer was annoyed or happy.
Qualifications
Education
University of Ilorin
Sep 2015 - Aug 2021
B.Eng (Electrical AND Electronics Engineering)
University of Salford
Sep 2023 - Sep 2024
Msc (Data Science)
Courses